Pharmaceutical Logistics Model Results for Green Vehicle Routing and Patient Triage

A research dataset presents results from a mixed integer linear programming model for pharmaceutical supply chain optimization. The model, developed by Zahra Bahrami, uses a three-objective approach for the green open vehicle routing problem to analyze total costs, greenhouse gas emissions under varying traffic speeds, and patient satisfaction. It was last updated on May 29, 2026, and includes experimental results from real-world applications, showing cost reductions of 14.74% and 13.511% for two proposed delivery scenarios.

Use Cases

• Optimizing pharmaceutical delivery routes based on the model's cost and emission objectives.
• Evaluating the trade-offs between home delivery and automated medicine lockers for patient satisfaction.
• Analyzing the impact of traffic congestion risk on greenhouse gas emissions in logistics planning.
• Applying triage concepts to prioritize urgent patient deliveries over locker assignments.

Strengths

• Includes specific quantitative results, such as cost reductions of 14.74% and 13.511% for two scenarios.
• Model incorporates three concrete objectives: routing costs, greenhouse gas emissions, and patient satisfaction.
• Verified through real-world applications, suggesting practical validation.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small at 5.5 KB, indicating limited scope.

Provenance

Source

figshare, authored by Zahra Samadi Bahrami.

Collection Method

Results from an improved non-dominated sorting genetic algorithm-II and LP-metric method applied to a proposed mathematical model.

Freshness

Last updated 2026-05-29 17:48:48; freshness should be verified.